44 citations · 165 across the 14 of their papers we have counts for
14 papers
A filtered embedded weighted compact nonlinear scheme for hyperbolic conservation law
Xuan Liu, Yaobing Min, Jinsheng Cai +2
In situations where a wide range of flow scales are involved, the nonlinear scheme used should be capable of both shock capturing and low-dissipation.Most of the existing WCNS sche…
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
Peng Xu, Lin Zhang, Xuanzhou Liu +4
Neural architecture search (NAS) for Graph neural networks (GNNs), called NAS-GNNs, has achieved significant performance over manually designed GNN architectures. However, these me…
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
Xuanzhou Liu, Lin Zhang, Jiaqi Sun +2
Subgraph matching is a fundamental building block for graph-based applications and is challenging due to its high-order combinatorial nature. Existing studies usually tackle it by…
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation
Lingting Zhu, Xian Liu, Xuanyu Liu +3
Animating virtual avatars to make co-speech gestures facilitates various applications in human-machine interaction. The existing methods mainly rely on generative adversarial netwo…
Vibration and jitter of free-flowing thin liquid sheets as target for high-repetition-rate laser-ion acceleration
Zhengxuan Cao, Ziyang Peng, Yinren Shou +18
Very thin free-flowing liquid sheets are promising targets for high-repetition-rate laser-ion acceleration. In this work, we report the generation of micrometer-thin free-flowing l…
RepBNN: towards a precise Binary Neural Network with Enhanced Feature Map via Repeating
Xulong Shi, Zhi Qi, Jiaxuan Cai +5
Binary neural network (BNN) is an extreme quantization version of convolutional neural networks (CNNs) with all features and weights mapped to just 1-bit. Although BNN saves a lot…